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Overload provisioning in mixed-criticality cyber-physical systems

Overload provisioning in mixed-criticality cyber-physical systems Overload Provisioning in Mixed-Criticality Cyber-Physical Systems KARTHIK LAKSHMANAN, Carnegie Mellon University DIONISIO DE NIZ, Software Engineering Institute RAGUNATHAN (RAJ) RAJKUMAR, Carnegie Mellon University GABRIEL MORENO, Software Engineering Institute Cyber-physical systems are an emerging class of applications that require tightly coupled interaction between the computational and physical worlds. These systems are typically realized using sensor/actuator interfaces connected with processing backbones. Safety is a primary concern in cyber-physical systems since the actuators directly influence the physical world. However, unexpected or unusual conditions in the physical world can manifest themselves as increased workload demands being offered to the computational infrastructure of a cyber-physical system. Guaranteeing system safety under overload conditions is therefore a prime concern in developing and deploying cyber-physical systems. In this work, we study this problem in the context of a radar surveillance system, where tasks have different levels of criticality or influence on system safety. In the face of overloads, we observe that the desirable property in such systems is that the more critical tasks continue to meet their timing requirements. We capture this mixed-criticality overload requirement using a formal overload-tolerance metric called ductility. Using this overload-tolerance metric, we first develop our solution in the context of uniprocessor http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Embedded Computing Systems (TECS) Association for Computing Machinery

Overload provisioning in mixed-criticality cyber-physical systems

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2012 by ACM Inc.
ISSN
1539-9087
DOI
10.1145/2362336.2362350
Publisher site
See Article on Publisher Site

Abstract

Overload Provisioning in Mixed-Criticality Cyber-Physical Systems KARTHIK LAKSHMANAN, Carnegie Mellon University DIONISIO DE NIZ, Software Engineering Institute RAGUNATHAN (RAJ) RAJKUMAR, Carnegie Mellon University GABRIEL MORENO, Software Engineering Institute Cyber-physical systems are an emerging class of applications that require tightly coupled interaction between the computational and physical worlds. These systems are typically realized using sensor/actuator interfaces connected with processing backbones. Safety is a primary concern in cyber-physical systems since the actuators directly influence the physical world. However, unexpected or unusual conditions in the physical world can manifest themselves as increased workload demands being offered to the computational infrastructure of a cyber-physical system. Guaranteeing system safety under overload conditions is therefore a prime concern in developing and deploying cyber-physical systems. In this work, we study this problem in the context of a radar surveillance system, where tasks have different levels of criticality or influence on system safety. In the face of overloads, we observe that the desirable property in such systems is that the more critical tasks continue to meet their timing requirements. We capture this mixed-criticality overload requirement using a formal overload-tolerance metric called ductility. Using this overload-tolerance metric, we first develop our solution in the context of uniprocessor

Journal

ACM Transactions on Embedded Computing Systems (TECS) – Association for Computing Machinery

Published: Dec 1, 2012

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